Alessandro Alla
- Statistical and Nonlinear Physics top 2%
- Computational Mechanics top 5%
- Statistics, Probability and Uncertainty top 2%
- Control and Systems Engineering top 10%
- Numerical Analysis top 10%
- Co-authors
- J. Nathan KutzSteven L. BruntonSamuel RudyMaurizio FalconeDante KaliseStefan VolkweinGianluigi RozzaAnnalisa Quaini
- Topics
- Model Reduction and Neural Networks (17 papers)Probabilistic and Robust Engineering Design (10 papers)Advanced Control Systems Optimization (7 papers)
- Cited by
- Statistical and Nonlinear PhysicsStatistics, Probability and UncertaintyComputational Mathematics
In The Last Decade
Alessandro Alla
25 papers receiving 449 citations
Peers
Comparison fields: 5 of 61
- Statistical and Nonlinear Physics 331
- Computational Mechanics 156
- Statistics, Probability and Uncertainty 107
- Control and Systems Engineering 89
- Numerical Analysis 70
Countries citing papers authored by Alessandro Alla
This map shows the geographic impact of Alessandro Alla's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Alessandro Alla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandro Alla more than expected).
Fields of papers citing papers by Alessandro Alla
This network shows the impact of papers produced by Alessandro Alla. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Alessandro Alla. The network helps show where Alessandro Alla may publish in the future.
Co-authorship network of co-authors of Alessandro Alla
This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Alla. A scholar is included among the top collaborators of Alessandro Alla based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alessandro Alla. Alessandro Alla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 15 | |
| 7 | 190 | |
| 8 | 25 | |
| 9 | 12 | |
| 10 | 29 | |
| 11 | 59 | |
| 12 | 25 | |
| 13 | 7 | |
| 14 | 6 | |
| 15 | An accelerated value/policy iteration scheme for the solution of DP equations | 1 |
| 16 | 41 | |
| 17 | 1 | |
| 18 | 3 | |
| 19 | 2 | |
| 20 | 8 |
About Alessandro Alla
Alessandro Alla is a scholar working on Numerical Analysis, Statistical and Nonlinear Physics and Statistics, Probability and Uncertainty, having authored 27 papers that have together received 469 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (17 papers), Probabilistic and Robust Engineering Design (10 papers) and Advanced Control Systems Optimization (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (331 citations), Statistics, Probability and Uncertainty (107 citations) and Computational Mathematics (8 citations). Alessandro Alla has collaborated with scholars based in Italy, Brazil and Germany. Frequent co-authors include J. Nathan Kutz, Steven L. Brunton, Samuel Rudy, Maurizio Falcone, Dante Kalise, Stefan Volkwein, Gianluigi Rozza, Annalisa Quaini, Max Gunzburger and Michael Hinze. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Advanced Optical Materials and SIAM Journal on Scientific Computing.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.